blackIf the noise precision \(\beta \)  is unknown, its estimation can be incorporated as well. The SBL algorithm can also be derived based on the EM algorithm [1]}, [2]}. The SBL algorithm requires a matrix inverse in (REF ) in each iteration. This results in cubic complexity in each iteration, which can be prohibitive for large scale problems. To address this issue, the implementation of the E-step using AMP has been investigated. GGAMP was used in [2]} to implement the E-Step, where sufficient damping is used to enhance the robustness of the algorithm against blacka generic measurement matrix. This leads to the GGAMP-SBL algorithm blackwith complexity significantly lower than that of SBL.
